RollingCovariance
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
nan
5.118817879971109
4.1027913811962105
3.1206263250548307
2.520556634870709
2.5039271079060974
3.0536266661924505
3.9442060775346914
4.82802347904016
5.363355814773972
5.33629480558142
4.7330126988542
3.7393931870665496
2.6720806648850366
1.8682317872792766
1.572983109066476
1.8614171906099544
2.618236644159986
3.579109317734771
4.41890241952818
4.858635234513748
4.757817275895573
4.162876118898045
3.2948602783571013
2.4779068258209307
2.0294665294417737
2.1478944241410574
2.8368774427099206
3.8961507799884982
4.985825264086334
5.744517052571927
5.919674603998883
5.461469053700076
4.54348419348084
3.5005812500791365
2.7062851523625833
2.435825920453852
2.766642241478388
3.55332442129365
4.4848725855193505
5.20081230243975
5.421648387338747
5.04600516521788
4.181550481274107
3.1023889971291156
2.151607329080898
1.624789293593102
1.6738369303254017
2.261004380706236
3.1753906284673112
4.104490331243592
4.737320308617676
4.866834366670993
4.459542954072184
3.6694287670775187
2.7895799325915127
2.154647439570485
2.024658405734084
2.4896493200050345
3.4304387831105148
4.553189867480107
5.4892136457115175
5.926145221730198
5.722559819403809
4.962082568777078
3.924776607678818
2.985113640778599